Atom Scott

Football, Analytics and Science


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Profile


Intro

While studying data analysis methods at the University of Tsukuba Information Science, I am working as a data analyst for the Japans best university football club. I would like to acquire the necessary skills to connects sports and data science/IT. My goal is to conquer sports with data. I would like to build a culture within universityt sports where I see effective data usage, while I am enrolled in University of Tsukuba.

More Info

Name:
Atom Scott
Age:
21 years
Address:
Japan, Ibaraki Pref, Tsukbua

Github
Sportech Sanity
Qiita

Education & Work


Education

2006 April
Moves to Tokyo, after growing up in London
2016 March
Graduates Tokyo Gakugei University International Secondary School
2016 March
Enters University of Tsukba, College of Information Science
平成 28 年 3 月
(Plans to) Graduates University of Tsukba, College of Information Science

Occupation

Joins Tsukuba University Football Club
2016 June

Joins AIST Social AI Research Center
2018 March

Joins University of Tsukuba Xperception Lab
2018 June

Joins University of Tsukuba Computer Vision Lab
2019 April

Internships

Splyza, Inc.
2019 April

Preferred Networks, Inc.
2019 August

Abilities


Work Experiance

2016~2018
Ibaraki Prefecture Football Team Analyst
・71st National Championship Womens Team Analyst
・72nd National Championship U-15 Boys Team Analyst
・73rd National Championship U-15 Boys Team Analyst
2017~2020
University of Tsukuba Football Club Head Data Analyst
2017~2019
University of Tsukuba Football Club Website Creator
2018~2019
Re:start, a start-up app to help atheletes in rehabilitation after injury
2019~
Developer for creating an open sports data platform

Skills

  • Problem Solving
  • Football Analysis
  • Football Experiance

Skills

  • Python
  • Javacript
  • HTML/CSS
  • C++
  • Others include: Wordpress, Github, AngularJS, Unity etc. Everyone overstates the number of frameworks and languages they can use anyway!

Languages

  • English
  • Japanese

Certifications and Awards

  • Toefl 110/120
  • Toeic 950/990
  • C-Level JFA Coaching License
  • Level-3 JFA Referee License
  • HCG Symposium Student Awards for coauthored paper*
  • First runner-up Enpit Award for Enpit Tsukuba*
  • First runner-up Sports Data Competition*
  • Super Science High School Poster Award*
  • *Details are provided in Research/Projects section


Other Key Experiances etc

2019/1/26
On stage Talk for Sports Analytics Japan 2019

Images courtesy of Wataru Ninomiya ©︎日本スポーツアナリスト協会

2018/11/4
JSAA Analytics Challenge Cup Sports Bussiness Competition Runner's up
2016~2019
Tsukuba Shukyu Winning Many Titles!
2017/9/10~15
Visted IBM T.J. Watson Research Center & Temple University

Research


Benchmarking the NN based Goal Expectation Method

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Lead by Ryo Hasegawa (University of Tsukuba Data Team),In this work we benchmark a Neural Network based... Go to Project Page


Identifying Risky Passes in Football

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Lead by Hayato Takshima (University of Tsukuba Data Team), we built on the work of Javier Hernandez to... Go to Project Page


Emotion Recognition from Vocal Streams Captured with Microsoft Hololens

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This research stemmed from an R&D project with an undisclosed Japanese research... Go to Project Page


A look into PCA and T-SNE for Football Tracking Data

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In my first attempt to visualize high dimensional tracking data I implemented and compared PCA and... Go to Project Page


Projects


Sportech Sanity

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Authors: Atom Scott, Saeru Yamamoto, Gota Shirato and many more contributors Summary:

Sportech... Go to Project Page


Soccer Visor

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Sooccer Visor is a tool, created by myself and Kaito Yamagata, used to visualise data in... Go to Project Page


University of Tsukuba Website

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I am currently leading a team which is building the University of Tsukuba FC's website.

For lack... Go to Project Page


Joint Work


ORINAS Athlete Football Edition by LIGHTz

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LIGHTz inc is an AI consulting company that looks to apply their existing AI tech to sports. I lead a... Go to Project Page


Other Content


Qiita

Qiita is a technical knowledge sharing and collaboration platform for programmers.


【秒速】PythonのPelicanを使ってウェブサイト(Coreserverで)を作ってみる。
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毎朝7時にグーグルスプレッドシートのセルに記入した、その日のタスクを読み取ってスラックに投稿する。
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Python OpenCVで人物画像の背景を消す
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時間が文字列になっているときに2つの時系列データをPython/Pandasで統合させる方法
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ChainerのTrainerを使ってRNNとLSTMに学習させる Part 1
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数学・機械学習ビジュアルラーニングまとめ
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CPU, GPU, Parallel GPUの速度評価with mnist(MLP), cifar-10(LeNet5), sine wave(LSTM)
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LSTMに、サイン波を複数のGPUを使って学習させる。
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とりあえず経験分布になんらかのモデルをフィットさせたい Python/Scipy
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Chainerでcupy.cuda.driver.CUDADriverError: CUDA_ERROR_INVALID_PTX: a PTX JIT compilation failedが出たときの対処法
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Sportech Sanity

Sportech Sanity is a platform for collecting the knowledge of sports analysis that is scattered across the web.